Traffic congestion reduction in SUMO using reinforcement learning method

Traffic congestion reduction in SUMO using reinforcement learning method

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Xehetasun bibliografikoak
Egile Nagusiak: Mouly, Radia Rahman, Rini, Puja Roy, Ethic, Ahsan Habib, Ayon, Mahdi Islam
Beste egile batzuk: Md. Khalilur Rahman
Formatua: Thesis
Hizkuntza:English
Argitaratua: Brac University 2021
Gaiak:
Traffic congestion
Reinforcement learning
Q-learning
Greedy approach
SARSA
Bias-Q-learning
MDP
SUMO
Reinforcement learning.
Sarrera elektronikoa:http://hdl.handle.net/10361/15728

Internet

http://hdl.handle.net/10361/15728

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